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Reconstruction from Template
Why reconstructing fingerprint images from templates?
Considering the growing diffusion of fingerprint-based systems in large-scale applications and the efforts towards interoperability, it is definitely urgent to carefully investigate to what extent an image reconstructed from a template may be similar to the original fingerprint. In particular, it is important to understand whether such a reconstructed fingerprint image can fool: (1) a human expert examiner; (2) an automatic recognition system through a masquerade attack.
The approach proposed by BioLab
Given the information stored in an ISO template (size and resolution of the image and list of the minutiae), the reconstruction approach is based on a sequence of steps that attempt to estimate various aspects of the original unknown fingerprint: 1) the fingerprint area, 2) the orientation image, and 3) the ridge pattern.
From the results of many systematic experiments carried out against nine state-of-the-art mathers, the following conclusions may be drawn: (1) it is very unlikely to fool a human expert, do to a lack of information in the standard template itself, which does not allow details such as the local shape of the minutiae or evident pores to be reconstructed; (2) it is definitely possible to successfully attack automatic recognition systems (with an average percentage of successful attacks against nine different systems of 81% at a high security level and 90% at a medium security level).
Comparison between a real fingerprint and the image reconstructed from its template
Bibliography(Click here if you are interested in any of the publications below)
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